A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling by Xiaonian Shan, Zhibin Li, Xiaohong Chen, Jianhong Ye

“…Field data were collected on physically separated bicycle path in Shanghai, China, and were used to calibrate the CA model using the genetic algorithm. Traffic flow features between simulations of several CA models and field observations were compared. …”
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Enhancing AI-Inspired Analog Circuit Design: Optimizing Component Sizes with the Firefly Algorithm and Binary Firefly Algorithm by Trang Hoang

“…Comparative analysis with existing optimization methods, including Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), underscores the efficiency and accuracy of BFA in optimizing circuit metrics, particularly in power-constrained environments. …”
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Seismic Control of Tall Buildings Using Distributed Multiple Tuned Mass Dampers by Hamid Radmard Rahmani, Carsten Könke

“…The nondominated sorting genetic algorithm II (NSGA-II) method was improved by adding multivariant genetic operators and utilized to simultaneously study the optimum design parameters of the TMDs and the optimum placement. …”
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Energy and exergy analysis of a modified air handling unit assisted by phase change material, heat recovery unit, and solar energy by Saman Faramarzi, Seyed Mohammad Mehdi Asadzadeh, Mohammad Reza Mohammad Hassani, Seyyed Amirreza Abdollahi, Reza Zarehzadeh, Mostafa Mafi

“…Through detailed energy and exergy analyses, the study evaluates the AHU’s performance and optimises the thickness and position of the PCM layer using genetic algorithm (GA) optimisation. Simulation of the proposed system was conducted using ASPEN Hysys and MATLAB software. …”
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A sparrow search algorithm based hybrid meta-heuristic algorithm for population growth rate prediction by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl Farrokhi-Asl, Ghazal Ghasemi

“…A set of 18 economic indicators serves as input variables, and a Genetic Algorithm (GA) is used for feature selection. The data used for analysis spans the most recent ten years and is presented on a monthly basis. …”
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Trajectory Planning of Camellia Oleifera Pollen Picking Manipulators Based on an Improved Particle Swarm Optimization Algorithm by Li Jun, Zhao Qing, Li Lijun, Wu Zechao, Guo Xin, Fan Ziyan, Gong Hongbin

“…The comparison between traditional genetic algorithm (SGA) and traditional particle swarm optimization (SPSO) shows that the IPSO algorithm can be better applied to the time optimal trajectory planning of camellia oleifera pollen picking manipulators.…”
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Collaborative Multidepot Petrol Station Replenishment Problem with Multicompartments and Time Window Assignment by Guangcan Xu, Maozeng Xu, Yong Wang, Yong Liu, Qiguang Lv

“…The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. …”
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Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method by Fayuan Zhu, Zhaohui Wang, Mi Lv

“…Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. …”
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Tribological Behavior and Analysis on Surface Roughness of CNC Milled Dual Heat Treated Al6061 Composites by A. Bovas Herbert Bejaxhin, G.M. Balamurugan, S.M. Sivagami, K. Ramkumar, V. Vijayan, S. Rajkumar

“…The influencing factors are identified by the Taguchi, genetic algorithm (GA), and Artificial Neural Network (ANN) techniques and compared within it. …”
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Application of Harmony Search to Design Storm Estimation from Probability Distribution Models by Sukmin Yoon, Changsam Jeong, Taesam Lee

“…The HS is compared to the genetic algorithm (GA) and ML via simulation and case study. …”
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Dislocation density-based simulation of pre-mixed jet effects on residual stress and cell size in 18CrNiMo7-6 alloy steel by MingHao Zhao, HaiYang Hou, FeiHu Ren, Chunsheng Lu, JianWei Zhang, BingBing Wang

“…The model employs a dislocation density-based constitutive relationship, with parameters optimized via a genetic algorithm. A fully coupled stress integration algorithm ensures the numerical stability. …”
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Optimization of Job Scheduling in the Cloud Computing Environment Using the Fuzzy Particle Swarm Optimization Algorithm by Shabnam Gharaeian, Khosrow Amirizadeh

“…Results show that the suggested optimization method can effectively improve criteria like makespan once compared with results of algorithms without optimization, like Ron-robin, and even in comparison to other optimization algorithms, like genetic algorithm.…”
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Firefly Optimization Algorithm for the Prediction of Uplift due to High-Pressure Jet Grouting by Wukui Dai, Li Liang, Bingji Zhang

“…As a result of the global optimization capacity and by comparison with the genetic algorithm, the FOA has a greater advantage in terms of effectiveness and precision. …”
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Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks by Jing Zuo, Jianwu Dang, Min Lyu

“…Compared with the genetic algorithm, the simulation shows that the approach can solve the optimal cost allocation problem to more effectively reduce the risks of large-scale HSRNs in practice.…”
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Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering by Jun Gang, Jiuping Xu, Yinfeng Xu

“…To search for the optimal solution of the bilevel model, a hybrid algorithm made up of an adaptive particle swarm optimization, an adaptive hybrid genetic algorithm, and a fuzzy random simulation algorithm is also proposed. …”
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An Improved Method of EWT and Its Application in Rolling Bearings Fault Diagnosis by Zhicheng Qiao, Yongqiang Liu, Yingying Liao

“…The crucial parameter penalty factor C and kernel parameter g of SVM are optimized by quantum genetic algorithm (QGA). Compared with traditional EWT and variational mode decomposition (VMD) methods, the effectiveness and advantages of this method are demonstrated in this study. …”
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An Improved Strategy for Genetic Evolutionary Structural Optimization by Nannan Cui, Shiping Huang, Xiaoyan Ding

“…Genetic evolutionary structural optimization (GESO) method is an integration of the genetic algorithm (GA) and evolutionary structural optimization (ESO). …”
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Robot welding trajectory optimization based on intersecting line welds by FAN Chenhui, LIU Huan, LIU Xuan, TANG Xiang

“…A method was proposed to apply an average fuzzy affiliation function to screen out the best solution of the Pareto front, and then the optimal continuous motion trajectory of energy consumption was planned.ResultsThe experimental results show that the method improves the optimal time, the balance of shocks and the continuity of acceleration, and improves the optimization ability by 22.83% and 25.63% compared to the standard particle swarm and the genetic algorithm, respectively. Planning trajectories to meet industrial welding requirements were shown by Adams dynamic simulation.…”
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Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network by Kazuhiko Hiramoto, Taichi Matsuoka, Katsuaki Sunakoda

“…Parameters such as weight and bias in the ANN are optimized by the genetic algorithm (GA). The proposed design method is applied to semiactive control design of a base-isolated building with a semiactive damper. …”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…The proposed TANN model applies the stud genetic algorithm to automatically select meta-paths at first. …”
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